philschmid

Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.
- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.
- Reasoning Before Conclusions: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!
    - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.
    - Conclusion, classifications, or results should ALWAYS appear last.
- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.
   - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from p

nazrulworld

Development Status :: 1 - Planning
Development Status :: 2 - Pre-Alpha
Development Status :: 3 - Alpha
Development Status :: 4 - Beta
Development Status :: 5 - Production/Stable
Development Status :: 6 - Mature
Development Status :: 7 - Inactive
Environment :: Console
Environment :: Console :: Curses
Environment :: Console :: Framebuffer

duhaime

from __future__ import division
from sklearn.cluster import KMeans
from numbers import Number
from pandas import DataFrame
import sys, codecs, numpy

class autovivify_list(dict):
        '''Pickleable class to replicate the functionality of collections.defaultdict'''
        def __missing__(self, key):
                value = self[key] = []